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Critical success factors for business intelligence systems

Yeoh, William and Koronios, Andy 2010, Critical success factors for business intelligence systems, Journal of computer information systems, vol. 50, no. 3, Spring, pp. 23-32.

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Title Critical success factors for business intelligence systems
Author(s) Yeoh, William
Koronios, Andy
Journal name Journal of computer information systems
Volume number 50
Issue number 3
Season Spring
Start page 23
End page 32
Total pages 10
Publisher International Association for Computer Information Systems
Place of publication [Stillwater, Okla]
Publication date 2010
ISSN 0887-4417
Summary The implementation of a business intelligence (BI) system is a complex undertaking requiring considerable resources. Yet there is a limited authoritative set of critical success factors (CSFs) for management reference because the BI market has been driven mainly by the IT industry and vendors. This research seeks to bridge the gap that exists between academia and practitioners by investigating the CSFs influencing BI systems success. The study followed a two-stage qualitative approach. Firstly, the authors utilised the Delphi method to conduct three rounds of studies. The study develops a CSFs framework crucial for BI systems implementation. Next, the framework and the associated CSFs are delineated through a series of case studies. The empirical findings substantiate the construct and applicability of the framework. More significantly, the research further reveals that those organisations which address the CSFs from a business orientation approach will be more likely to achieve better results.
Language eng
Field of Research 080399 Computer Software not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2010, International Association for Computer Information Systems
Persistent URL http://hdl.handle.net/10536/DRO/DU:30033043

Document type: Journal Article
Collections: School of Information and Business Analytics
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.